In statistical analysis, evaluating the normality of large datasets is crucial for validating parametric tests … effectiveness of transformation methods in achieving normality. Techniques like logarithmic, quantile and rank-based Inverse Normal … deviations from normality was assessed through the Receiver Operating Characteristic (ROC) analysis and the Area Under the Curve …

The article presents a proposal for a goodness-of-fit test for multivariate normality. The idea of the test is based on …'s variability is divided into m disjoint cells. Assuming the truth of hypothesis H0, which proclaims the multivariate normality of …